2014
DOI: 10.2298/tsci130103030s
|View full text |Cite
|
Sign up to set email alerts
|

Development of a two zone turbulence model and its application to the cycle-simulation

Abstract: The development of a two zone k-e turbulence model for the cycle-simulation software is presented. The in-cylinder turbulent flow field of internal combustion engines plays the most important role in the combustion process. Turbulence has a strong influence on the combustion process because the convective deformation of the flame front as well as the additional transfer of the momentum, heat, and mass can occur. The development and use of numerical simulation models are prompted by the high experimental costs,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 14 publications
(7 citation statements)
references
References 15 publications
0
7
0
Order By: Relevance
“…Schematic of a ECFM-3Z model computational cell (Colin and Benkenida, 2004). the turbulent kinetic energy of the unburned zone assuming the homogeneous and isotropic turbulent flow field (Ramos, 1989;Sjerić et al, 2014).…”
Section: Fractal Combustion Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Schematic of a ECFM-3Z model computational cell (Colin and Benkenida, 2004). the turbulent kinetic energy of the unburned zone assuming the homogeneous and isotropic turbulent flow field (Ramos, 1989;Sjerić et al, 2014).…”
Section: Fractal Combustion Modelmentioning
confidence: 99%
“…Although the cycle-simulation results of turbulent kinetic energy depended on the initial conditions specified at the IVC (Intake Valve Closure), very good agreement of turbulent kinetic energy over different engine operating conditions was obtained (Sjerić et al, 2012). The extension of the developed single zone turbulence model into a two zone model during the combustion process is presented and described in (Sjerić et al, 2014). The research presented in this paper aims to eliminate the necessity for specifying the initial conditions of turbulence at IVC and to close the loop in the turbulence simulation model by extending the calculation to the gas exchange process.…”
Section: Introductionmentioning
confidence: 99%
“…Such approaches feature a good compromise between accuracy and computational effort [7]. They are not as fast as ANN based models [8] but can ensure acceptable fastrunning characteristics [9] and several levels of detail can be implemented for augmenting predictive capabilities [10,11]. Data recorded on optically accessible units can ensure a solid starting point for model development and validation, as they feature high spatial resolution [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…For the study specific modifications and extensions of the available fractal combustion model are made. For the modelling of in-cylinder turbulence a new turbulence model is implemented [26,27], while the combustion process is simulated by the modified fractal model that includes an ignition sub-model, a sub-model for transition from laminar to turbulent flame and a two zone turbulence sub-model. The early flame kernel growth is modelled by a newly [28] commonly used in 3D-CFD simulations.…”
Section: Introductionmentioning
confidence: 99%
“…In this study, the cyclic variability of combustion in SI engines is produced by a predefined perturbation of the turbulence intake production parameter, by a perturbation of the flow direction at the spark plug and by a perturbation of the stratification of air equivalence ratio from cycle-to-cycle, simulating the fluctuations of in-cylinder turbulence level, fluid motion and stratification of fuel, respectively. Since the combustion and turbulence models have already been described in previous publications [26,27], the description of the numerical model in this paper will be limited to the quasi-dimensional ignition model and to the methodology of inducing CCV in the simulations.…”
Section: Introductionmentioning
confidence: 99%